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Course Outline

The Role of AI in the FinTech Ecosystem

  • The evolution of FinTech: transitioning from digitization to intelligent systems.
  • Identifying where AI adds value: personalization, automated processes, and fraud detection.
  • Real-world case studies from challenger banks and AI-first platforms.

Open Banking and API Architecture

  • Overview of PSD2, Open Finance, and global Open Banking frameworks.
  • Implementing APIs for account aggregation, payment processing, and data services.
  • Constructing and testing API integrations utilizing Postman.

Machine Learning Strategies for FinTech Advancement

  • Applying supervised and unsupervised ML models for credit assessment, KYC procedures, and recommendation engines.
  • Leveraging FinTech data sources: transaction streams and behavioral insights.
  • Architecting low-latency ML pipelines for real-time decision-making.

Conversational AI and Embedded Financial Services

  • Deploying LLMs and chatbots to enhance digital advisory and customer support.
  • Integrating voice assistants and natural language interfaces.
  • Incorporating AI into embedded lending, insurance, and savings products.

RegTech, Ethical Practices, and Compliance

  • Utilizing AI for identity verification and Anti-Money Laundering (AML) monitoring.
  • Addressing fairness, bias, and explainability within financial AI systems.
  • Navigating ethical considerations regarding data usage and automation.

Prototyping AI-Augmented FinTech Solutions

  • Utilizing rapid prototyping tools and FinTech sandbox environments.
  • Mapping user journeys and identifying value-added features through AI.
  • Applying design thinking to foster responsible and inclusive financial services.

The Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking.
  • AI governance and adapting to shifting regulatory landscapes.
  • Strategic planning for AI-centric product roadmaps.

Conclusion and Recommended Next Steps

Requirements

  • A solid grasp of financial products and digital platforms.
  • Practical experience in data-driven product design or development.
  • A strong interest in API-based architectures and AI applications.

Target Audience

  • Product Managers.
  • FinTech Founders.
  • Strategy Leads.
 14 Hours

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